Expectation of a composite indicator function

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I did not find any reference over the stack community and internet, but hopefully you might help me. I am trying to compute the expectation (over time $t$) of the following (composite) indicator function:



$mathbbEleft[mathbb1u_t leq mathbb1X_t geq xkright]$,



where $u_t$ are independent random draws from from a $U[0,1]$ in every period $t$, $mathbb1X_t geq x$ is a standard indicator function that returns $1$ if the condition inside the curly bracket is true and $0$ otherwise, and $k$ is a constant.



I am wondering if the expression above is equivalent to the one below



$mathbbEleft[mathbb1u_t leq mathbbEleft[mathbb1X_t geq xright]kright]$.



If it is, I can carry forward the whole calculation. I just need to show this first step.



Any suggestion is kindly appreciated.







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    up vote
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    I did not find any reference over the stack community and internet, but hopefully you might help me. I am trying to compute the expectation (over time $t$) of the following (composite) indicator function:



    $mathbbEleft[mathbb1u_t leq mathbb1X_t geq xkright]$,



    where $u_t$ are independent random draws from from a $U[0,1]$ in every period $t$, $mathbb1X_t geq x$ is a standard indicator function that returns $1$ if the condition inside the curly bracket is true and $0$ otherwise, and $k$ is a constant.



    I am wondering if the expression above is equivalent to the one below



    $mathbbEleft[mathbb1u_t leq mathbbEleft[mathbb1X_t geq xright]kright]$.



    If it is, I can carry forward the whole calculation. I just need to show this first step.



    Any suggestion is kindly appreciated.







    share|cite|improve this question





















      up vote
      0
      down vote

      favorite









      up vote
      0
      down vote

      favorite











      I did not find any reference over the stack community and internet, but hopefully you might help me. I am trying to compute the expectation (over time $t$) of the following (composite) indicator function:



      $mathbbEleft[mathbb1u_t leq mathbb1X_t geq xkright]$,



      where $u_t$ are independent random draws from from a $U[0,1]$ in every period $t$, $mathbb1X_t geq x$ is a standard indicator function that returns $1$ if the condition inside the curly bracket is true and $0$ otherwise, and $k$ is a constant.



      I am wondering if the expression above is equivalent to the one below



      $mathbbEleft[mathbb1u_t leq mathbbEleft[mathbb1X_t geq xright]kright]$.



      If it is, I can carry forward the whole calculation. I just need to show this first step.



      Any suggestion is kindly appreciated.







      share|cite|improve this question











      I did not find any reference over the stack community and internet, but hopefully you might help me. I am trying to compute the expectation (over time $t$) of the following (composite) indicator function:



      $mathbbEleft[mathbb1u_t leq mathbb1X_t geq xkright]$,



      where $u_t$ are independent random draws from from a $U[0,1]$ in every period $t$, $mathbb1X_t geq x$ is a standard indicator function that returns $1$ if the condition inside the curly bracket is true and $0$ otherwise, and $k$ is a constant.



      I am wondering if the expression above is equivalent to the one below



      $mathbbEleft[mathbb1u_t leq mathbbEleft[mathbb1X_t geq xright]kright]$.



      If it is, I can carry forward the whole calculation. I just need to show this first step.



      Any suggestion is kindly appreciated.









      share|cite|improve this question










      share|cite|improve this question




      share|cite|improve this question









      asked Jul 14 at 17:01









      Marcos RF

      103




      103




















          1 Answer
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          The expressions are equal (not sure if I'd call them "equivalent") if $kle1$. If $kgt1$, the second expression will generally be greater, since taking the expectation will tend to avoid the clipping.



          In detail: Let $kin[0,1]$, and $p_1=mathbb P(X_tge x)$ and $p_0=mathbb P(X_tlt x)$; then



          $$
          mathbbEleft[mathbb1u_t leq mathbb1X_t geq xkright]=p_0mathbb1u_tle0+p_1mathbb1u_tle k=p_1k
          $$



          and



          $$
          mathbbEleft[mathbb1u_t leq mathbbEleft[mathbb1X_t geq xright]kright]=mathbbEleft[mathbb1u_t leq p_0cdot0+p_1kright]=mathbbEleft[mathbb1u_t leq p_1kright]=p_1k;.
          $$






          share|cite|improve this answer























          • Thx @joriki, indeed $k in (0,1)$. Could you expand a little bit your intuition? I am not sure what you mean by "clipping". (I also have the same intuition as of now)
            – Marcos RF
            Jul 14 at 18:00











          • @MarcosRFernandes: I've added the details.
            – joriki
            Jul 14 at 18:08










          • thx @joriki. It is clear now!
            – Marcos RF
            Jul 14 at 18:11










          • @MarcosRFernandes: By "clipping", I mean the effect that in $mathbb E[mathbb 1u_tle c]=max (0,min(1,c))$ the $c$ is "clipped" to $1$ if it exceeds $1$.
            – joriki
            Jul 14 at 18:12







          • 1




            I see. Thanks for the help @joriki! I am building reputation here and as soon as I can upvote your answer, I will do that. For now I can only select it as the best answer. Cheers!
            – Marcos RF
            Jul 14 at 18:18










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          1 Answer
          1






          active

          oldest

          votes








          1 Answer
          1






          active

          oldest

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          oldest

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          active

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          up vote
          0
          down vote



          accepted










          The expressions are equal (not sure if I'd call them "equivalent") if $kle1$. If $kgt1$, the second expression will generally be greater, since taking the expectation will tend to avoid the clipping.



          In detail: Let $kin[0,1]$, and $p_1=mathbb P(X_tge x)$ and $p_0=mathbb P(X_tlt x)$; then



          $$
          mathbbEleft[mathbb1u_t leq mathbb1X_t geq xkright]=p_0mathbb1u_tle0+p_1mathbb1u_tle k=p_1k
          $$



          and



          $$
          mathbbEleft[mathbb1u_t leq mathbbEleft[mathbb1X_t geq xright]kright]=mathbbEleft[mathbb1u_t leq p_0cdot0+p_1kright]=mathbbEleft[mathbb1u_t leq p_1kright]=p_1k;.
          $$






          share|cite|improve this answer























          • Thx @joriki, indeed $k in (0,1)$. Could you expand a little bit your intuition? I am not sure what you mean by "clipping". (I also have the same intuition as of now)
            – Marcos RF
            Jul 14 at 18:00











          • @MarcosRFernandes: I've added the details.
            – joriki
            Jul 14 at 18:08










          • thx @joriki. It is clear now!
            – Marcos RF
            Jul 14 at 18:11










          • @MarcosRFernandes: By "clipping", I mean the effect that in $mathbb E[mathbb 1u_tle c]=max (0,min(1,c))$ the $c$ is "clipped" to $1$ if it exceeds $1$.
            – joriki
            Jul 14 at 18:12







          • 1




            I see. Thanks for the help @joriki! I am building reputation here and as soon as I can upvote your answer, I will do that. For now I can only select it as the best answer. Cheers!
            – Marcos RF
            Jul 14 at 18:18














          up vote
          0
          down vote



          accepted










          The expressions are equal (not sure if I'd call them "equivalent") if $kle1$. If $kgt1$, the second expression will generally be greater, since taking the expectation will tend to avoid the clipping.



          In detail: Let $kin[0,1]$, and $p_1=mathbb P(X_tge x)$ and $p_0=mathbb P(X_tlt x)$; then



          $$
          mathbbEleft[mathbb1u_t leq mathbb1X_t geq xkright]=p_0mathbb1u_tle0+p_1mathbb1u_tle k=p_1k
          $$



          and



          $$
          mathbbEleft[mathbb1u_t leq mathbbEleft[mathbb1X_t geq xright]kright]=mathbbEleft[mathbb1u_t leq p_0cdot0+p_1kright]=mathbbEleft[mathbb1u_t leq p_1kright]=p_1k;.
          $$






          share|cite|improve this answer























          • Thx @joriki, indeed $k in (0,1)$. Could you expand a little bit your intuition? I am not sure what you mean by "clipping". (I also have the same intuition as of now)
            – Marcos RF
            Jul 14 at 18:00











          • @MarcosRFernandes: I've added the details.
            – joriki
            Jul 14 at 18:08










          • thx @joriki. It is clear now!
            – Marcos RF
            Jul 14 at 18:11










          • @MarcosRFernandes: By "clipping", I mean the effect that in $mathbb E[mathbb 1u_tle c]=max (0,min(1,c))$ the $c$ is "clipped" to $1$ if it exceeds $1$.
            – joriki
            Jul 14 at 18:12







          • 1




            I see. Thanks for the help @joriki! I am building reputation here and as soon as I can upvote your answer, I will do that. For now I can only select it as the best answer. Cheers!
            – Marcos RF
            Jul 14 at 18:18












          up vote
          0
          down vote



          accepted







          up vote
          0
          down vote



          accepted






          The expressions are equal (not sure if I'd call them "equivalent") if $kle1$. If $kgt1$, the second expression will generally be greater, since taking the expectation will tend to avoid the clipping.



          In detail: Let $kin[0,1]$, and $p_1=mathbb P(X_tge x)$ and $p_0=mathbb P(X_tlt x)$; then



          $$
          mathbbEleft[mathbb1u_t leq mathbb1X_t geq xkright]=p_0mathbb1u_tle0+p_1mathbb1u_tle k=p_1k
          $$



          and



          $$
          mathbbEleft[mathbb1u_t leq mathbbEleft[mathbb1X_t geq xright]kright]=mathbbEleft[mathbb1u_t leq p_0cdot0+p_1kright]=mathbbEleft[mathbb1u_t leq p_1kright]=p_1k;.
          $$






          share|cite|improve this answer















          The expressions are equal (not sure if I'd call them "equivalent") if $kle1$. If $kgt1$, the second expression will generally be greater, since taking the expectation will tend to avoid the clipping.



          In detail: Let $kin[0,1]$, and $p_1=mathbb P(X_tge x)$ and $p_0=mathbb P(X_tlt x)$; then



          $$
          mathbbEleft[mathbb1u_t leq mathbb1X_t geq xkright]=p_0mathbb1u_tle0+p_1mathbb1u_tle k=p_1k
          $$



          and



          $$
          mathbbEleft[mathbb1u_t leq mathbbEleft[mathbb1X_t geq xright]kright]=mathbbEleft[mathbb1u_t leq p_0cdot0+p_1kright]=mathbbEleft[mathbb1u_t leq p_1kright]=p_1k;.
          $$







          share|cite|improve this answer















          share|cite|improve this answer



          share|cite|improve this answer








          edited Jul 14 at 18:08


























          answered Jul 14 at 17:58









          joriki

          165k10180328




          165k10180328











          • Thx @joriki, indeed $k in (0,1)$. Could you expand a little bit your intuition? I am not sure what you mean by "clipping". (I also have the same intuition as of now)
            – Marcos RF
            Jul 14 at 18:00











          • @MarcosRFernandes: I've added the details.
            – joriki
            Jul 14 at 18:08










          • thx @joriki. It is clear now!
            – Marcos RF
            Jul 14 at 18:11










          • @MarcosRFernandes: By "clipping", I mean the effect that in $mathbb E[mathbb 1u_tle c]=max (0,min(1,c))$ the $c$ is "clipped" to $1$ if it exceeds $1$.
            – joriki
            Jul 14 at 18:12







          • 1




            I see. Thanks for the help @joriki! I am building reputation here and as soon as I can upvote your answer, I will do that. For now I can only select it as the best answer. Cheers!
            – Marcos RF
            Jul 14 at 18:18
















          • Thx @joriki, indeed $k in (0,1)$. Could you expand a little bit your intuition? I am not sure what you mean by "clipping". (I also have the same intuition as of now)
            – Marcos RF
            Jul 14 at 18:00











          • @MarcosRFernandes: I've added the details.
            – joriki
            Jul 14 at 18:08










          • thx @joriki. It is clear now!
            – Marcos RF
            Jul 14 at 18:11










          • @MarcosRFernandes: By "clipping", I mean the effect that in $mathbb E[mathbb 1u_tle c]=max (0,min(1,c))$ the $c$ is "clipped" to $1$ if it exceeds $1$.
            – joriki
            Jul 14 at 18:12







          • 1




            I see. Thanks for the help @joriki! I am building reputation here and as soon as I can upvote your answer, I will do that. For now I can only select it as the best answer. Cheers!
            – Marcos RF
            Jul 14 at 18:18















          Thx @joriki, indeed $k in (0,1)$. Could you expand a little bit your intuition? I am not sure what you mean by "clipping". (I also have the same intuition as of now)
          – Marcos RF
          Jul 14 at 18:00





          Thx @joriki, indeed $k in (0,1)$. Could you expand a little bit your intuition? I am not sure what you mean by "clipping". (I also have the same intuition as of now)
          – Marcos RF
          Jul 14 at 18:00













          @MarcosRFernandes: I've added the details.
          – joriki
          Jul 14 at 18:08




          @MarcosRFernandes: I've added the details.
          – joriki
          Jul 14 at 18:08












          thx @joriki. It is clear now!
          – Marcos RF
          Jul 14 at 18:11




          thx @joriki. It is clear now!
          – Marcos RF
          Jul 14 at 18:11












          @MarcosRFernandes: By "clipping", I mean the effect that in $mathbb E[mathbb 1u_tle c]=max (0,min(1,c))$ the $c$ is "clipped" to $1$ if it exceeds $1$.
          – joriki
          Jul 14 at 18:12





          @MarcosRFernandes: By "clipping", I mean the effect that in $mathbb E[mathbb 1u_tle c]=max (0,min(1,c))$ the $c$ is "clipped" to $1$ if it exceeds $1$.
          – joriki
          Jul 14 at 18:12





          1




          1




          I see. Thanks for the help @joriki! I am building reputation here and as soon as I can upvote your answer, I will do that. For now I can only select it as the best answer. Cheers!
          – Marcos RF
          Jul 14 at 18:18




          I see. Thanks for the help @joriki! I am building reputation here and as soon as I can upvote your answer, I will do that. For now I can only select it as the best answer. Cheers!
          – Marcos RF
          Jul 14 at 18:18












           

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